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Factors Affecting Customer Acceptance of Online Shopping Platforms in Malaysia: Conceptual Model and Preliminary Results

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Innovative Systems for Intelligent Health Informatics (IRICT 2020)

Abstract

Many customers today are more reliant on online shopping compared to the traditional shopping because of convenience afforded by online shopping platform. However, customers face many choices when using online shopping platform and need to imagine the product quality since it is online. Moreover, there are many problems of inconsistent service quality through online shopping. Therefore, online sellers need to understand customer preferences in order to survive in the competitive environment of online shopping. This study aims to identify the factors affecting customer acceptance of online shopping platform. Based on Technology Acceptance Model, and relevant studies concerning online platform preferred characteristics, a conceptual model is proposed. Seven independent variables (Website content, website design, perceived enjoyment, perceived usefulness, and perceived ease of use, trust, and customer service quality) are used to construct the model. To develop the variables’ measurements, the items were adopted from the related literature. The measurement model was validated by administrating a set of 200 questionnaires using convenience sampling to target online shopper respondents in Malaysia. Smart PLS3 tool was used to analyse the collected data. The result showed significance level of reliability and validity of the measurement model. The developed measurement can be used to examine the factors influencing the customer acceptance of online shopping.

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References

  1. Lissitsa, S., Chachashvili-Bolotin, S.: Life satisfaction in the internet age–changes in the past decade. Comput. Hum. Behav. 54, 197–206 (2016)

    Article  Google Scholar 

  2. Ariff, M.S.M., et al.: Consumer perceived risk, attitude and online shopping behaviour; empirical evidence from Malaysia. In: IOP Conference Series: Materials Science and Engineering. IOP Publishing (2014)

    Google Scholar 

  3. UOW: Online shopping is the ‘new normal’ in Malaysia. https://www.uowmkdu.edu.my/news/online-shopping-is-the-new-normal-in-malaysia/2020.

  4. Zieman: Online shopping starts to gain more traction in Malaysia. The Star Online (2014). https://www.thestar.com.my/business/sme/2014/03/29/retail-revolution-in-the-making-online-shopping-starts-to-gain-more-traction-in-malaysia

  5. Simon, K.: Digital 2019 spotlight: e-commerce in Malaysia. Hootsuite & We Are Social (2019). https://datareportal.com/reports/digital-2019-global-digital-overview

  6. Lim, R.: Online shopping goes up as people stay in (2020). https://www.thestar.com.my/news/nation/2020/03/19/online-shopping-goes-up-as-people-stay-in

  7. Moksina, H., et al.: Consumer’s repurchase behavior intention in online shopping: a Malaysian perspective. Int. J. Innov. Creativity Change 6(3), 339–350 (2019)

    Google Scholar 

  8. Ananda, N.A., et al.: Theory acceptance model and purchase intention in online shopping. In: 1st Annual Conference on Education and Social Sciences, ACCESS 2019. Atlantis Press (2020)

    Google Scholar 

  9. Nasution, M.D.T.P., et al.: An empirical examination of the factors influencing consumer’s purchase intention toward online shopping. J. Bus. Retail Manage. Res. 13(4), 14–29 (2019)

    Article  Google Scholar 

  10. Alam, S.S., et al.: Customer satisfaction in online shopping in growing markets: an empirical study. Int. J. Asian Bus. Inf. Manage. 11(1), 78–91 (2020)

    Article  Google Scholar 

  11. Wen, T.S., et al.: Consumer intention towards online shopping in Malaysia. Int. J. Account. Finance Bus. 5(27), 93–117 (2020)

    Google Scholar 

  12. Sabah, N.M.: Exploring students’ awareness and perceptions: influencing factors and individual differences driving m-learning adoption. Comput. Hum. Behav. 65, 522–533 (2016)

    Article  Google Scholar 

  13. Jackman, G.: Investigating the factors influencing students’ acceptance of mobile learning: the Cave Hill campus experience. Carib. Educ. Res. J. 2(2), 14–32 (2014)

    Google Scholar 

  14. Bishop, D.: Information overload, and how to lighten it. Möbius J. Contin. Educ. Prof. Health Sci. 6(3), 47–53 (1986)

    Article  Google Scholar 

  15. Huang, C.-C.: Cognitive factors in predicting continued use of information systems with technology adoption models. Inf. Res. Int. Electron. J. 22(2), n2 (2017)

    Google Scholar 

  16. Lunney, A., Cunningham, N.R., Eastin, M.S.: Wearable fitness technology: a structural investigation into acceptance and perceived fitness outcomes. Comput. Hum. Behav. 65, 114–120 (2016)

    Article  Google Scholar 

  17. Tanner, K.: Survey Designs, in Research Methods, pp. p. 159–192. Elsevier (2018)

    Google Scholar 

  18. Marangunić, N., Granić, A.: Technology acceptance model: a literature review from 1986 to 2013. Univ. Access Inf. Soc. 14(1), 81–95 (2015)

    Article  Google Scholar 

  19. Amin, M., Rezaei, S., Abolghasemi, M.: User satisfaction with mobile websites: the impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust. Nankai Bus. Rev. Int. 5(3), 258–274 (2014)

    Article  Google Scholar 

  20. Van der Heijden, H., Verhagen, T., Creemers, M.: Understanding online purchase intentions: contributions from technology and trust perspectives. Eur. J. Inf. Syst. 12(1), 41–48 (2003)

    Article  Google Scholar 

  21. Delafrooz, N., et al.: Factors affecting students attitude toward online shopping. Afr. J. Bus. Manage. 3(5), 200–209 (2009)

    Google Scholar 

  22. Kansal, P.: Relationship between service quality of CCEs and organizational functioning variables in indian hotel industry. JOHAR 7(2), 40 (2012)

    Google Scholar 

  23. Mathur, K., Sharma, A.: A study of online shopping habits of consumers in India. Int. J. Cust. Relat. 2(1), 23–28 (2014)

    Google Scholar 

  24. Akroush, M.N., Al-Debei, M.M.: An integrated model of factors affecting consumer attitudes towards online shopping. Bus. Process Manage. J. 21(6), 1353–1376 (2015)

    Article  Google Scholar 

  25. Javadi, M.H.M., et al.: An analysis of factors affecting on online shopping behavior of consumers. Int. J. Mark. Stud. 4(5), 81 (2012)

    Google Scholar 

  26. Waheed, A., Jianhua, Y.: Achieving consumers’ attention through emerging technologies: the linkage between e-marketing and consumers’ exploratory buying behavior tendencies. Baltic J. Manage. 13(2), 209–235 (2018)

    Article  Google Scholar 

  27. Jadhav, V., Khanna, M.: Factors influencing online buying behavior of college students: a qualitative analysis. J. Qual. Rep. 21(1), 1 (2016)

    Google Scholar 

  28. Jusoh, Z.M., Ling, G.H.: Factors influencing consumers’ attitude towards e-commerce purchases through online shopping. Int. J. Humanit. Soc. Sci. 2(4), 223–230 (2012)

    Google Scholar 

  29. Wei, N.P.C.: An empirical study of online shopping customer satisfaction in Malaysia: a holistic perspective. In: International Conference on Information Technology Infrastructure. Academic Press, Kuala Lampur (2013)

    Google Scholar 

  30. Wu, W.-Y., et al.: How can online store layout design and atmosphere influence consumer shopping intention on a website? Int. J. Retail Distrib. Manage. 42, 4–24 (2014)

    Article  Google Scholar 

  31. Pastrick, G.: Secrets of great site design. Internet User, pp. 80–87 (1997)

    Google Scholar 

  32. Lim, Y.J., et al.: Factors influencing online shopping behavior: the mediating role of purchase intention. J. Procedia Econ. Finan. 35(5), 401–410 (2016)

    Article  Google Scholar 

  33. Shergill, G.S., Chen, Z.: Web-based shopping: consumers’ attitudes towards online shopping in New Zealand. J. Electron. Commer. Res. 6(2), 78 (2005)

    Google Scholar 

  34. Lian, J.-W., Lin, T.-M.: Effects of consumer characteristics on their acceptance of online shopping: comparisons among different product types. Comput. Hum. Behav. 24(1), 48–65 (2008)

    Article  Google Scholar 

  35. Suwunniponth, W.: Factor driving consumer intention in online shopping. Int. J. Econ. Manage. Eng. 8(6), 1949–1953 (2014)

    Google Scholar 

  36. Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: Extrinsic and intrinsic motivation to use computers in the workplace 1. J. Appl. Soc. Psychol. 22(14), 1111–1132 (1992)

    Article  Google Scholar 

  37. Bellini, S., Cardinali, M.G., Grandi, B.: A structural equation model of impulse buying behaviour in grocery retailing. J. Retail. Consum. Serv. 36, 164–171 (2017)

    Article  Google Scholar 

  38. Davis, F.D.: A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results.Massachusetts Institute of Technology (1985)

    Google Scholar 

  39. Aref, M.M., Okasha, A.E.: Evaluating the online shopping behavior among Egyptian college-educated community. Rev. Econ. Polit. Sci. 5(1), 21–37 (2020)

    Article  Google Scholar 

  40. Cha, J.: Exploring the internet as a unique shopping channel to sell both real and virtual items: a comparison of factors affecting purchase intention and consumer characteristics. J. Electron. Commer. Res. 12(2), 115 (2011)

    Google Scholar 

  41. Kucukusta, D., Law, R., Besbes, A., Legohérel, P.: Re-examining perceived usefulness and ease of use in online booking: the case of Hong Kong online users. Int. J. Contemp. Hosp. Manage. 27(2), 185–198 (2015)

    Article  Google Scholar 

  42. Hamid, A.A., et al.: The effects of perceived usefulness and perceived ease of use on continuance intention to use e-government. Procedia Econ. Financ. 2016(35), 644–649 (2016)

    Article  Google Scholar 

  43. Guritno, S., Siringoringo, H.: Perceived usefulness, ease of use, and attitude towards online shopping usefulness towards online airlines ticket purchase. Procedia Soc. Behav. Sci. 81, 212–216 (2013)

    Article  Google Scholar 

  44. Shadkam, M., et al.: Antecedents of consumers’ intention to shop online. Aust. J. Basic Appl. Sci. 7(13), 190–197 (2013)

    Google Scholar 

  45. Wong, W., Bartels, M., Chrobot, N.: Practical eye tracking of the ecommerce website user experience. In: International Conference on Universal Access in Human-Computer Interaction. Springer, Cham (2014)

    Google Scholar 

  46. Pu, P., Chen, L., Hu, R.: A user-centric evaluation framework for recommender systems. In: Proceedings of the 5th ACM Conference on Recommender Systems (2011)

    Google Scholar 

  47. Sun, Y., et al., Exploring critical success factors of mobile recommendation systems: the end user perspective. In: Transactions on Engineering Technologies, pp. 45–57. Springer, Singapore (2016)

    Google Scholar 

  48. Tai, Y.-M., Ku, Y.-C.: Will stock investors use mobile stock trading? A benefit-risk assessment based on a modified UTAUT model. J. Electron. Commer. Res. 14(1), 67 (2013)

    Google Scholar 

  49. Wen, C., Prybutok, V.R., Xu, C.: An integrated model for customer online repurchase intention. J. Comput. Inf. Syst. 52(1), 14–23 (2011)

    Google Scholar 

  50. Mohseni, S., Sreenivasan, J.: The impact of user characteristics in online purchase intention in tourism industry, edn. 1. Reef Resources Assessment and Management Technical Paper, vol. 40, pp. 399–404 (2014)

    Google Scholar 

  51. Ludin, I.H.B.H., Cheng, B.L.: Factors influencing customer satisfaction and e-loyalty: online shopping environment among the young adults. Manage. Dyn. Knowl. Econ. 2(3), 462 (2014)

    Google Scholar 

  52. Al-Maghrabi, T., et al.: Determinants of customer continuance intention of online shopping. Int. J. Bus. Sci. Appl. Manage. (IJBSAM) 6(1), 41–66 (2011)

    Google Scholar 

  53. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319 (1989)

    Article  Google Scholar 

  54. Hoque, M.R., Bao, Y., Sorwar, G.: Investigating factors influencing the adoption of e-Health in developing countries: a patient’s perspective. Inform. Health Soc. Care 42(1), 1–17 (2017)

    Article  Google Scholar 

  55. Kim, T.G., Lee, J.H., Law, R.: An empirical examination of the acceptance behaviour of hotel front office systems: an extended technology acceptance model. Tour. Manage. 29(3), 500–513 (2008)

    Article  Google Scholar 

  56. Rasli, A.: Data Analysis and Interpretation – A Handbook for Postgraduate Social Scientists. Penerbit UTM (2006)

    Google Scholar 

  57. Piacentini, V., et al.: Reliability and validity of an instrument to measure quality of life in the dysarthric speaker. Folia Phoniatr. Logop. 63(6), 289–295 (2011)

    Article  Google Scholar 

  58. Hair, J.F., Jr., et al.: Partial least squares structural equation modeling (PLS-SEM). Eur. Bus. Rev. 26(2), 106–121 (2014)

    Article  MathSciNet  Google Scholar 

  59. Henseler, J., Ringle, C.M., Sinkovics, R.R.: The use of partial least squares path modeling in international marketing. In: New Challenges to International Marketing. Emerald Group Publishing Limited (2009)

    Google Scholar 

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Acknowledgment

The authors are grateful to SuITE research group for the guidance, thankful to CRIM for the financial support and Universiti Teknikal Malaysia Melaka for providing facilities in this study.

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Correspondence to Nabil Hasan Al-kumaim .

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Al-kumaim, N.H., Sow, G.W., Mohammed, F. (2021). Factors Affecting Customer Acceptance of Online Shopping Platforms in Malaysia: Conceptual Model and Preliminary Results. In: Saeed, F., Mohammed, F., Al-Nahari, A. (eds) Innovative Systems for Intelligent Health Informatics. IRICT 2020. Lecture Notes on Data Engineering and Communications Technologies, vol 72. Springer, Cham. https://doi.org/10.1007/978-3-030-70713-2_85

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